Spatiotemporal snowmelt patterns within a high Arctic landscape – with implications for flora and fauna
Snow conditions are important drivers of the distribution and phenology of Arctic flora and fauna, but the extent and effects of local variation in snowmelt are still inadequately studied. We analyze snowmelt patterns within the Zackenberg valley in northeast Greenland. Drawing on landscape-level sn...
Published in: | Arctic, Antarctic, and Alpine Research |
---|---|
Main Authors: | , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
2018
|
Subjects: | |
Online Access: | https://pure.au.dk/portal/en/publications/25601f16-af01-4561-86da-d706063abc9b https://doi.org/10.1080/15230430.2017.1415624 |
id |
ftuniaarhuspubl:oai:pure.atira.dk:publications/25601f16-af01-4561-86da-d706063abc9b |
---|---|
record_format |
openpolar |
spelling |
ftuniaarhuspubl:oai:pure.atira.dk:publications/25601f16-af01-4561-86da-d706063abc9b 2024-02-11T09:59:02+01:00 Spatiotemporal snowmelt patterns within a high Arctic landscape – with implications for flora and fauna Kankaanpää, Tuomas Skov, Kirstine Abrego, Nerea Lund, Magnus Schmidt, Niels Martin Roslin, Tomas 2018 https://pure.au.dk/portal/en/publications/25601f16-af01-4561-86da-d706063abc9b https://doi.org/10.1080/15230430.2017.1415624 eng eng https://pure.au.dk/portal/en/publications/25601f16-af01-4561-86da-d706063abc9b info:eu-repo/semantics/closedAccess Kankaanpää , T , Skov , K , Abrego , N , Lund , M , Schmidt , N M & Roslin , T 2018 , ' Spatiotemporal snowmelt patterns within a high Arctic landscape – with implications for flora and fauna ' , Arctic, Antarctic, and Alpine Research , vol. 50 , no. 1 , e1415624 . https://doi.org/10.1080/15230430.2017.1415624 Snowmelt climate change high Arctic phenological mismatch spatiotemporal variability article 2018 ftuniaarhuspubl https://doi.org/10.1080/15230430.2017.1415624 2024-01-17T23:59:49Z Snow conditions are important drivers of the distribution and phenology of Arctic flora and fauna, but the extent and effects of local variation in snowmelt are still inadequately studied. We analyze snowmelt patterns within the Zackenberg valley in northeast Greenland. Drawing on landscape-level snowmelt dates and meteorological data from a central climate station, we model snowmelt trends during 1998–2014. We then use time-lapse photographs to examine consistency in spatiotemporal snowmelt patterns during 2006–2014. Finally, we use monitoring data on arthropods and plants for 1998–2014 to investigate how snowmelt date affects the phenology of Arctic organisms. Despite large interannual variation in snowmelt timing, we find consistency in the relative order of snowmelt among sites within the landscape. With a slight overall advancement in snowmelt during the study period, early melting locations have advanced more than late-melting ones. Individual organism groups differ greatly in how their phenology shifts with snowmelt, with much variance attributable to variation in life history and diet. Overall, we note that local variation in snowmelt patterns may drive important ecological processes, and that more attention should be paid to variability within landscapes. Areas optimal for a given taxon vary between years, thereby creating spatial structure in a seemingly uniform landscape. Article in Journal/Newspaper Antarctic and Alpine Research Arctic Arctic Climate change Greenland Zackenberg Aarhus University: Research Arctic Greenland Arctic, Antarctic, and Alpine Research 50 1 e1415624 |
institution |
Open Polar |
collection |
Aarhus University: Research |
op_collection_id |
ftuniaarhuspubl |
language |
English |
topic |
Snowmelt climate change high Arctic phenological mismatch spatiotemporal variability |
spellingShingle |
Snowmelt climate change high Arctic phenological mismatch spatiotemporal variability Kankaanpää, Tuomas Skov, Kirstine Abrego, Nerea Lund, Magnus Schmidt, Niels Martin Roslin, Tomas Spatiotemporal snowmelt patterns within a high Arctic landscape – with implications for flora and fauna |
topic_facet |
Snowmelt climate change high Arctic phenological mismatch spatiotemporal variability |
description |
Snow conditions are important drivers of the distribution and phenology of Arctic flora and fauna, but the extent and effects of local variation in snowmelt are still inadequately studied. We analyze snowmelt patterns within the Zackenberg valley in northeast Greenland. Drawing on landscape-level snowmelt dates and meteorological data from a central climate station, we model snowmelt trends during 1998–2014. We then use time-lapse photographs to examine consistency in spatiotemporal snowmelt patterns during 2006–2014. Finally, we use monitoring data on arthropods and plants for 1998–2014 to investigate how snowmelt date affects the phenology of Arctic organisms. Despite large interannual variation in snowmelt timing, we find consistency in the relative order of snowmelt among sites within the landscape. With a slight overall advancement in snowmelt during the study period, early melting locations have advanced more than late-melting ones. Individual organism groups differ greatly in how their phenology shifts with snowmelt, with much variance attributable to variation in life history and diet. Overall, we note that local variation in snowmelt patterns may drive important ecological processes, and that more attention should be paid to variability within landscapes. Areas optimal for a given taxon vary between years, thereby creating spatial structure in a seemingly uniform landscape. |
format |
Article in Journal/Newspaper |
author |
Kankaanpää, Tuomas Skov, Kirstine Abrego, Nerea Lund, Magnus Schmidt, Niels Martin Roslin, Tomas |
author_facet |
Kankaanpää, Tuomas Skov, Kirstine Abrego, Nerea Lund, Magnus Schmidt, Niels Martin Roslin, Tomas |
author_sort |
Kankaanpää, Tuomas |
title |
Spatiotemporal snowmelt patterns within a high Arctic landscape – with implications for flora and fauna |
title_short |
Spatiotemporal snowmelt patterns within a high Arctic landscape – with implications for flora and fauna |
title_full |
Spatiotemporal snowmelt patterns within a high Arctic landscape – with implications for flora and fauna |
title_fullStr |
Spatiotemporal snowmelt patterns within a high Arctic landscape – with implications for flora and fauna |
title_full_unstemmed |
Spatiotemporal snowmelt patterns within a high Arctic landscape – with implications for flora and fauna |
title_sort |
spatiotemporal snowmelt patterns within a high arctic landscape – with implications for flora and fauna |
publishDate |
2018 |
url |
https://pure.au.dk/portal/en/publications/25601f16-af01-4561-86da-d706063abc9b https://doi.org/10.1080/15230430.2017.1415624 |
geographic |
Arctic Greenland |
geographic_facet |
Arctic Greenland |
genre |
Antarctic and Alpine Research Arctic Arctic Climate change Greenland Zackenberg |
genre_facet |
Antarctic and Alpine Research Arctic Arctic Climate change Greenland Zackenberg |
op_source |
Kankaanpää , T , Skov , K , Abrego , N , Lund , M , Schmidt , N M & Roslin , T 2018 , ' Spatiotemporal snowmelt patterns within a high Arctic landscape – with implications for flora and fauna ' , Arctic, Antarctic, and Alpine Research , vol. 50 , no. 1 , e1415624 . https://doi.org/10.1080/15230430.2017.1415624 |
op_relation |
https://pure.au.dk/portal/en/publications/25601f16-af01-4561-86da-d706063abc9b |
op_rights |
info:eu-repo/semantics/closedAccess |
op_doi |
https://doi.org/10.1080/15230430.2017.1415624 |
container_title |
Arctic, Antarctic, and Alpine Research |
container_volume |
50 |
container_issue |
1 |
container_start_page |
e1415624 |
_version_ |
1790594923147296768 |